Veros Credit
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Data Scientist
role at
Veros Credit
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This range is provided by Veros Credit. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $95,000.00/yr - $115,000.00/yr
Additional compensation types Annual Bonus
Direct message the job poster from Veros Credit
Veros Credit
is committed to making vehicle ownership possible for everyone. Through our vast network of independent and franchise dealers, we have helped countless customers with their financing needs, allowing them to drive off in the vehicle they deserve.
We realize that our greatest assets are our employees, which is why we strive to make work welcoming and fun but offer limitless opportunities for growth and advancement. At Veros Credit, you can look forward to company events, free meals quarterly, holiday activities, and more. You will be greeted by friendly, positive, and ambitious team members, and work alongside leaders who encourage and value your new ideas. We are proud to say that it is this sense of community that makes us excited to walk through the door every day.
Some of our benefit offerings include:
Medical, Dental, and Vision Insurance
Life Insurance
Flexible Spending Accounts (FSA)
Accident, Hospital, Indemnity Insurance
Short Term Disability (STD) and Long-Term Disability (LTD) Insurance
Employee Assistance Program (EAP)
401(k) Plan
Employee Stock Ownership Plan (ESOP)
Tuition Reimbursement
Paid Holidays
Paid Time Off (PTO)
Transportation Reimbursement Benefit (Mass Transit, Carpool, and Plug-In Electric Vehicle)
Referral Bonus
Quarterly lunches
Daily fresh fruit
And a lot more!
About The Position
The
Data Scientist
will be part of a team responsible for creating ML solutions and analysis to help mitigate portfolio risk. You will perform and implement the results of analysis into our decisioning API. The ideal candidate will have 1 to 3 years of experience in the financial services sector, with hands on demonstrable experience in machine learning and working in cloud environments.
Perform advanced data and statistical analysis in support of the creation and maintenance of performance scorecards.
Support the Credit Risk Management team in data analysis and model construction.
1+ years of experience with designing, building, and deploying scalable, highly available, and fault tolerant systems in a cloud environment.
Manage, maintain, and improve our decisioning application on AWS
Develop and integrate model strategy to support business initiatives and risk-based pricing.
Perform data manipulation and analysis using SQL, R or Python and Microsoft Excel.
Develop Machine Learning models in areas such as segmentation analysis, logistic regression, decision trees and other advanced algorithms.
Incorporate observations and data into existing models to improve predictive results.
Identify deviations from forecast/expectations and explain variances.
Contribute to loss forecasts, demographic and credit limit utilization analysis.
Prepare exhibits and supporting materials.
Develop recommendations for credit policy.
Track portfolio performance and risk strategy results.
Identify opportunities to leverage statistical solutions to solve business problems.
Other duties as assigned.
Familiarity with Python machine learning frameworks and tools.
Experience in Consumer Lending a plus (Auto Finance, Mortgage, Credit Cards, Personal Lending, etc.)
Strong SQL skills for data extraction and analysis
Proficiency with Microsoft Excel
Exposure to software development methodologies like using GIT and understanding of how APIs work.
Ability to utilize analytics in a collaborative manner across business functions and product lines to derive optimum solutions.
Strong communication and problem-solving skills with the ability to interact with others in a professional, tactful, and sensitive manner.
Demonstrated ability to communicate technical concepts to a non-technical audience.
Demonstrated ability to manipulate and analyze data across large databases.
Detail oriented and organized with a strong work ethic and team focus.
Ability to work in a fast-paced environment, both independently and as part of a team with the ability to work under tight deadlines and manage more than one assignment at a time.
Advanced Degree in Mathematics, Statistics, Computer Science, Quantitative Analysis or equivalent work experience.
Knowledge of A/B testing and other experimental design methodologies.
Salary:
$95,000.00 - $115,000.00 annually + Bonus
In-office position based at our Corporate Office in Santa Ana, CA. Candidates must reside within 20 miles of this location. We do not offer employment sponsorship.
Veros Credit, LLC is an equal opportunity employer.
This Organization Participates in E-Verify
Seniority level: Associate
Employment type: Full-time
Job function: Analyst, Finance, and Strategy/Planning
#J-18808-Ljbffr
Data Scientist
role at
Veros Credit
Get AI-powered advice on this job and more exclusive features.
This range is provided by Veros Credit. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $95,000.00/yr - $115,000.00/yr
Additional compensation types Annual Bonus
Direct message the job poster from Veros Credit
Veros Credit
is committed to making vehicle ownership possible for everyone. Through our vast network of independent and franchise dealers, we have helped countless customers with their financing needs, allowing them to drive off in the vehicle they deserve.
We realize that our greatest assets are our employees, which is why we strive to make work welcoming and fun but offer limitless opportunities for growth and advancement. At Veros Credit, you can look forward to company events, free meals quarterly, holiday activities, and more. You will be greeted by friendly, positive, and ambitious team members, and work alongside leaders who encourage and value your new ideas. We are proud to say that it is this sense of community that makes us excited to walk through the door every day.
Some of our benefit offerings include:
Medical, Dental, and Vision Insurance
Life Insurance
Flexible Spending Accounts (FSA)
Accident, Hospital, Indemnity Insurance
Short Term Disability (STD) and Long-Term Disability (LTD) Insurance
Employee Assistance Program (EAP)
401(k) Plan
Employee Stock Ownership Plan (ESOP)
Tuition Reimbursement
Paid Holidays
Paid Time Off (PTO)
Transportation Reimbursement Benefit (Mass Transit, Carpool, and Plug-In Electric Vehicle)
Referral Bonus
Quarterly lunches
Daily fresh fruit
And a lot more!
About The Position
The
Data Scientist
will be part of a team responsible for creating ML solutions and analysis to help mitigate portfolio risk. You will perform and implement the results of analysis into our decisioning API. The ideal candidate will have 1 to 3 years of experience in the financial services sector, with hands on demonstrable experience in machine learning and working in cloud environments.
Perform advanced data and statistical analysis in support of the creation and maintenance of performance scorecards.
Support the Credit Risk Management team in data analysis and model construction.
1+ years of experience with designing, building, and deploying scalable, highly available, and fault tolerant systems in a cloud environment.
Manage, maintain, and improve our decisioning application on AWS
Develop and integrate model strategy to support business initiatives and risk-based pricing.
Perform data manipulation and analysis using SQL, R or Python and Microsoft Excel.
Develop Machine Learning models in areas such as segmentation analysis, logistic regression, decision trees and other advanced algorithms.
Incorporate observations and data into existing models to improve predictive results.
Identify deviations from forecast/expectations and explain variances.
Contribute to loss forecasts, demographic and credit limit utilization analysis.
Prepare exhibits and supporting materials.
Develop recommendations for credit policy.
Track portfolio performance and risk strategy results.
Identify opportunities to leverage statistical solutions to solve business problems.
Other duties as assigned.
Familiarity with Python machine learning frameworks and tools.
Experience in Consumer Lending a plus (Auto Finance, Mortgage, Credit Cards, Personal Lending, etc.)
Strong SQL skills for data extraction and analysis
Proficiency with Microsoft Excel
Exposure to software development methodologies like using GIT and understanding of how APIs work.
Ability to utilize analytics in a collaborative manner across business functions and product lines to derive optimum solutions.
Strong communication and problem-solving skills with the ability to interact with others in a professional, tactful, and sensitive manner.
Demonstrated ability to communicate technical concepts to a non-technical audience.
Demonstrated ability to manipulate and analyze data across large databases.
Detail oriented and organized with a strong work ethic and team focus.
Ability to work in a fast-paced environment, both independently and as part of a team with the ability to work under tight deadlines and manage more than one assignment at a time.
Advanced Degree in Mathematics, Statistics, Computer Science, Quantitative Analysis or equivalent work experience.
Knowledge of A/B testing and other experimental design methodologies.
Salary:
$95,000.00 - $115,000.00 annually + Bonus
In-office position based at our Corporate Office in Santa Ana, CA. Candidates must reside within 20 miles of this location. We do not offer employment sponsorship.
Veros Credit, LLC is an equal opportunity employer.
This Organization Participates in E-Verify
Seniority level: Associate
Employment type: Full-time
Job function: Analyst, Finance, and Strategy/Planning
#J-18808-Ljbffr